MEPS — Urban Institute modeled school-level poverty (% at 100% FPL), from CCD + SAIPE (public schools, 2009-2022, 2-3yr lag).

Custom licenceAuto-check passed

Install Education Data Source Meps

skills CLI
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill education-data-source-meps -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills education-data-source-meps --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/education-data-source-meps .claude/skills/education-data-source-meps && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
education-data-source-meps
GitHub stars
4.5k
Token cost
~3.5k tokens
SKILL.md length
1,279 words
Files
6 (incl. references)
Skills in repo
383
Repo updated
First seen
Licence
Custom licence

At a glance

MEPS — Urban Institute modeled school-level poverty (% at 100% FPL), from CCD + SAIPE (public schools, 2009-2022, 2-3yr lag).

  • Works in 5 steps: Model-based: MEPS uses a linear… → Calibrated to SAIPE: District totals… → School-specific: Reflects enrolled… → …
  • FRPL is unreliable due to CEP
  • SKILL.md covers What is MEPS?, Reference File Structure, Decision Trees and Quick Reference: MEPS Variables, plus 9 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Education Data Source Meps is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. MEPS — Urban Institute modeled school-level poverty (% at 100% FPL), from CCD + SAIPE (public schools, 2009-2022, 2-3yr lag). Use when FRPL is unreliable due to CEP. Consistent cross-state measurement. Public schools only.

Its SKILL.md is about 3.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including reference files (for example `references/comparison-to-frpl.md`, `references/data-quality.md` and `references/data-sources.md`).

The repository describes itself as: 🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库,覆盖8大社会科学学科的实证研究。CoPaper.AI…

When your agent uses it

  • FRPL is unreliable due to CEP

Example prompts

  • “/education-data-source-meps”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Model-based: MEPS uses a linear probability model, not direct counts
  2. Calibrated to SAIPE: District totals align with Census poverty estimates
  3. School-specific: Reflects enrolled students, not neighborhood demographics
  4. 100% FPL threshold: Lower than FRPL (185%) - captures deeper poverty
  5. Public schools only: Does not cover private schools

What it can do on your machine

Read from SKILL.md and the folder at commit 9fa87d8. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are python).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Education Data Source Meps loads about 3.5k tokens when it runs, and up to ~15k if it reads all its reference files. Until then it costs about 62 tokens; SKILL.md has 1,279 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~62
When it runs · the whole SKILL.md, loaded when a task matches
~3.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~15k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,279 words (~3,501 tokens).

“Model Estimates of Poverty in Schools (MEPS) — Urban Institute modeled estimates of school-level poverty (% students at or below 100% FPL), derived from CCD and Census SAIPE data (public schools, 2009-2022, 2-3 year lag). Use when analyzing school poverty…”

— opening of SKILL.md by brycewang-stanford, Custom licence
name
education-data-source-meps
metadata.audience
any-agent
metadata.domain
data-source
metadata.skill-authored
2026-02-09
metadata.skill-last-updated
2026-02-09

Read the full SKILL.md on GitHub

Files

SKILL.md and 5 other files (references) in skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/education-data-source-meps of brycewang-stanford/Auto-Empirical-Research-Skills.

  • SKILL.md
  • references/comparison-to-frpl.md
  • references/data-quality.md
  • references/data-sources.md
  • references/methodology.md
  • references/variable-definitions.md

Open the folder on GitHubat commit 9fa87d8

Compare with similar skills

Education Data Source Meps next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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Model Bank Metadatalobehub/lobehub83k—~2kAutomated safety check: PassCustom licence
Harness Threat Modelruvnet/ruflo74k—~363Automated safety check: NotesMIT
OmniRoute Model Catalog CLIdiegosouzapw/OmniRoute74k—~554Automated safety check: PassMIT
Model Usageopenclaw/openclaw392k1 repos~637Automated safety check: PassMIT

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Questions about Education Data Source Meps

What does Education Data Source Meps do?

MEPS — Urban Institute modeled school-level poverty (% at 100% FPL), from CCD + SAIPE (public schools, 2009-2022, 2-3yr lag). Education Data Source Meps is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. MEPS — Urban Institute modeled school-level poverty (% at 100% FPL), from CCD + SAIPE (public schools, 2009-2022, 2-3yr lag).

When should I use Education Data Source Meps?

Education Data Source Meps fits situations like: FRPL is unreliable due to CEP.

How do I install Education Data Source Meps in Claude Code?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill education-data-source-meps -a claude-code`. Or copy the skill folder (skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/education-data-source-meps in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/education-data-source-meps in your project. Claude Code loads it when a task matches its description.

How do I install Education Data Source Meps in Codex?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill education-data-source-meps -a codex`. Or copy the skill folder (skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/education-data-source-meps in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/education-data-source-meps in your project. Codex loads it when a task matches its description.

Can I use Education Data Source Meps in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill education-data-source-meps -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/education-data-source-meps, .gemini/skills/education-data-source-meps, .github/skills/education-data-source-meps and .opencode/skills/education-data-source-meps in your project.

What does Education Data Source Meps need to run?

SKILL.md names no scripts, command-line tools or credentials: Education Data Source Meps is instructions for the agent only. Our summary lists: Python 3.

Does Education Data Source Meps access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Education Data Source Meps safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Education Data Source Meps use?

Education Data Source Meps has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Education Data Source Meps use?

About 3.5k tokens (SKILL.md is roughly 14k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 12k tokens, read only when the agent opens those files.

What are the alternatives to Education Data Source Meps?

Skills that share tags, products or a category with Education Data Source Meps: OmniRoute Model Catalog (diegosouzapw/OmniRoute, 74k stars), Model Bank Metadata (lobehub/lobehub, 83k stars), Harness Threat Model (ruvnet/ruflo, 74k stars) and OmniRoute Model Catalog CLI (diegosouzapw/OmniRoute, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Education Data Source Meps?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Auto-Empirical-Research-Skills, which has 4,542 GitHub stars. The repository holds 383 skills in this directory. The repository was last updated on October 5, 2026.

Source: brycewang-stanford/Auto-Empirical-Research-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.